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DBMS > Kdb vs. Manticore Search vs. Microsoft Azure SQL Database vs. Netezza

System Properties Comparison Kdb vs. Manticore Search vs. Microsoft Azure SQL Database vs. Netezza

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionHigh performance Time Series DBMSMulti-storage database for search, including full-text search.Database as a Service offering with high compatibility to Microsoft SQL ServerData warehouse and analytics appliance part of IBM PureSystems
Primary database modelTime Series DBMS
Vector DBMS
Search engineRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitekx.commanticoresearch.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.ibm.com/­products/­netezza
Technical documentationcode.kx.commanual.manticoresearch.comdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperKx Systems, a division of First Derivatives plcManticore SoftwareMicrosoftIBM
Initial release2000 infokdb was released 2000, kdb+ in 2003201720102000
Current release3.6, May 20186.0, February 2023V12
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoGPL version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqC++C++
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Windows
hostedLinux infoincluded in appliance
Data schemeyesFixed schemayesyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesCan index from XMLyes
Secondary indexesyes infotable attribute 'grouped'yes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL-like query language (q)SQL-like query languageyesyes
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsTransact SQLyes
Triggersyes infowith viewsnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication based on Galera libraryyes, with always 3 replicas availableSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlrights management via user accountsnofine grained access rights according to SQL-standardUsers with fine-grained authorization concept
More information provided by the system vendor
KdbManticore SearchMicrosoft Azure SQL Database infoformerly SQL AzureNetezza infoAlso called PureData System for Analytics by IBM
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
KdbManticore SearchMicrosoft Azure SQL Database infoformerly SQL AzureNetezza infoAlso called PureData System for Analytics by IBM
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